Shadow AI: AppSec Strategies for Finding and Securing LLM-powered Apps
Shadow AI: AppSec Strategies for Finding and Securing LLM-powered Apps
Product leaders and developers are embedding LLMs to drive innovation, AppSec teams are often unaware, creating “shadow AI” risks and new classes of vulnerabilities that traditional testing misses. For most organizations, the challenge isn’t building LLMs—it’s integrating these token-hungry instances securely. Join us to learn how to discover hidden LLM and ensure coding and testing best practices are applied to keep AI-powered applications safe.
In this webinar you will learn:
-How to find “shadow” LLMs and chatbots with fingerprinting and discovery techniques
-Ensure AI integration hygiene: output sanitization, prompt hardening, tool-access controls, monitoring, and policies
-Detect and prevent exploits through exposed backend LLM tools and integrations.
Join Invicti Product Marketing Manager, Don Shin, and Manager of Field Engineering, Brett Durlock, as they speak how to discover hidden LLM and ensure coding and testing best practices are applied to keep AI-powered applications safe.
Don Shin is a Security Strategist at Invicti. Don is passionate about simplifying complex solutions to address clients’ IT challenges. Don has extensive experience with application, network, and identity security technologies.
The team lead for the Solutions Engineering Team at Invicti Security, Brett has a background in software development with a degree in Computer Science and a Masters in Systems Engineering. Brett has been working in the Cyber Security industry for 7 years through various roles in Security Engineering, Platform Engineering, and Database Administration. He is passionate about Cyber Security and technology in general.
Experience the future of AppSec
